Business Driving Agile Development at Scale - Teradata Partners Conference - October 2012

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Telstra is Australia's leading telecommunications company. It started with one agile team on a pilot project in 2011 and has since grown to include 7 teams working on many projects within one Agile Release Train. The document discusses six important lessons Telstra learned along its agile journey, including that culture is the foundation, environments need management, automated testing is critical, bottlenecks must be identified, product owners must be involved, and a scaled framework is needed. It also stresses the importance of support from experienced agile practitioners.

Technology Business

THOMAS, THE AGILE
RELEASE TRAIN:
Business driving agile
development at scale
Em Campbell-Pretty
General Manager, BI CoE Strategic Delivery, Telstra

ABOUT TELSTRA
Telstra is Australia's leading telecommunications and information services
company, with one of the best known brands in the country In 2011/12,
total revenue was $25.4 billion and reported EBITDA was $10.2 billion.
In 2011/12, Telstra:
• Handled close to 3 billion local calls, 4.7 billion national long distance
minutes, 12 billion text messages and close to 17 billion mobile voice
minutes
• Provided 8 million fixed line and 13.8 million mobile services, including
wholesale services
Telstra also:
• Handles around 300,000 calls in our contact centres each day
• Operates and maintains more than 11,000 telephone exchanges
• Our people and contractors, on average, complete around 23,000
customer service jobs (new services and fault repairs) a day
• Send out more than 100 million bills every year.
Telstra has one of the largest shareholder bases in Australia; with 1.4
million shareholders and millions more investing through superannuation
funds.

OUR EDW AGILE JOURNEY
18 months later
• 7 teams,
• Many projects
• One Agile Release Train
February 2011
One agile team
on a pilot project

XP
Scrum &
Kanban
Lean Thinking
Culture
1. CULTURE IS THE FOUNDATION

AND WHATEVER YOU DO MAKE SURE YOU
HAVE THE SUPPORT OF ONE OR MORE
SEASONED AGILE PRACTITIONERS!

Em Campbell-Pretty
@PrettyAgile
Emily.Campbell-Pretty@team.telsta.com
Give us your feedback!
To complete a Session Survey, log-in to
the PARTNERSmobile app from your smart
phone, go to the InfoHub kiosks, or visit
teradata-partners.com.

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Presentation at Mastering SAP 21st May 2017 Struggling with agile at scale? Thinking about scaling agile beyond the team? Want to learn from others’ mistakes? There is a lot to be learnt from those who have successfully hitchhiked their way through the galaxy of scaled agile. This session celebrates the scaled agile hitchhiker, the people who bravely tried ideas that were occasionally brilliant but often plain stupid. You will laugh, you will cry but you will also walk away with a nice long list of ideas not to try when scaling agile! • Seven failure patterns in scaling agile • An understanding of why these patterns lead to less than optimal results • Tips on how to avoid falling into these failure patterns

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Presented at Agile Israel 2017. When it comes to shaping agile teams many organisations use a leader decides model. The design of the teams is often a very delicate balancing act. Skills, experience, subject matter expertise and personalities all need to be factored in and the end result is often less than ideal. So what if we took a different approach? What if we let the people who are going to be in the teams decide for themselves which mix of skills, experience, subject matters expertise and personalities are going to work best? In this session you will learn how Sandy Mamoli & David Mole's approach to self-selection (aka Squadification) has been used at one of Australia's largest banks to empower people to choose who they work with. This warts and all tale from the trenches will arm you to attempt your own self-secretion workshop, using proven techniques that have even been applied as part of launching a SAFe Agile Release Train.

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Business Driving Agile Development at Scale - Teradata Partners Conference - October 2012

1. THOMAS, THE AGILE RELEASE TRAIN: Business driving agile development at scale Em Campbell-Pretty General Manager, BI CoE Strategic Delivery, Telstra

2. ABOUT TELSTRA Telstra is Australia's leading telecommunications and information services company, with one of the best known brands in the country In 2011/12, total revenue was $25.4 billion and reported EBITDA was $10.2 billion. In 2011/12, Telstra: • Handled close to 3 billion local calls, 4.7 billion national long distance minutes, 12 billion text messages and close to 17 billion mobile voice minutes • Provided 8 million fixed line and 13.8 million mobile services, including wholesale services Telstra also: • Handles around 300,000 calls in our contact centres each day • Operates and maintains more than 11,000 telephone exchanges • Our people and contractors, on average, complete around 23,000 customer service jobs (new services and fault repairs) a day • Send out more than 100 million bills every year. Telstra has one of the largest shareholder bases in Australia; with 1.4 million shareholders and millions more investing through superannuation funds.

3. OUR EDW AGILE JOURNEY 18 months later • 7 teams, • Many projects • One Agile Release Train February 2011 One agile team on a pilot project

4. SIX LESSONS WE LEARNT THE HARD WAY

5. XP Scrum & Kanban Lean Thinking Culture 1. CULTURE IS THE FOUNDATION

6. 2. ENVIRONMENT MANAGEMENT

7. 3. AUTOMATED TESTING

8. 4. FIND THE LONG POLES

9. 5. GET PRODUCT OWNERS TO THE TABLE

10. 6. ADOPT A SCALED FRAMEWORK

11. AND WHATEVER YOU DO MAKE SURE YOU HAVE THE SUPPORT OF ONE OR MORE SEASONED AGILE PRACTITIONERS!

12. Em Campbell-Pretty @PrettyAgile Emily.Campbell-Pretty@team.telsta.com Give us your feedback! To complete a Session Survey, log-in to the PARTNERSmobile app from your smart phone, go to the InfoHub kiosks, or visit teradata-partners.com.

Business Driving Agile Development at Scale - Teradata Partners Conference - October 2012

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